Beginning Data Science with R

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software, Technology
Cover of the book Beginning Data Science with R by Manas A. Pathak, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Manas A. Pathak ISBN: 9783319120669
Publisher: Springer International Publishing Publication: December 8, 2014
Imprint: Springer Language: English
Author: Manas A. Pathak
ISBN: 9783319120669
Publisher: Springer International Publishing
Publication: December 8, 2014
Imprint: Springer
Language: English

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.
The goal of “Beginning Data Science with R” is to introduce the readers to some of the useful data science techniques and their implementation with the R programming language. The book attempts to strike a balance between the how: specific processes and methodologies, and understanding the why: going over the intuition behind how a particular technique works, so that the reader can apply it to the problem at hand. This book will be useful for readers who are not familiar with statistics and the R programming language.

More books from Springer International Publishing

Cover of the book Hybrid Systems Biology by Manas A. Pathak
Cover of the book Intelligent Optimal Adaptive Control for Mechatronic Systems by Manas A. Pathak
Cover of the book Gastric Cardiac Cancer by Manas A. Pathak
Cover of the book Terrorism, Tourism and the End of Hospitality in the 'West' by Manas A. Pathak
Cover of the book Heavily-Doped 2D-Quantized Structures and the Einstein Relation by Manas A. Pathak
Cover of the book Integration of Reusable Systems by Manas A. Pathak
Cover of the book Advances in Ergonomics in Design by Manas A. Pathak
Cover of the book Lean Compendium by Manas A. Pathak
Cover of the book The Global Water System in the Anthropocene by Manas A. Pathak
Cover of the book Measurement and Analysis in Transforming Healthcare Delivery by Manas A. Pathak
Cover of the book Autonomous Cyber Deception by Manas A. Pathak
Cover of the book Service Orientation in Holonic and Multi-Agent Manufacturing by Manas A. Pathak
Cover of the book Handbook on Advances in Remote Sensing and Geographic Information Systems by Manas A. Pathak
Cover of the book Knowledge Transfer between Computer Vision and Text Mining by Manas A. Pathak
Cover of the book Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments by Manas A. Pathak
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy